The majority of the worlds forests has undergone some form of management, such as clear-cut or thinning. This management has direct relevance for global climate: Studies estimate that forest management emissions add a third to those from deforestation, while enhanced productivity in managed forests increases the capacity of the terrestrial biosphere to act as a sink for carbon dioxide emissions. However, uncertainties in the assessment of these fluxes are large. Moreover, forests influence climate also by altering the energy and water balance of the land surface. In many regions of historical deforestation, such biogeophysical effects have substantially counteracted warming due to carbon dioxide emissions. However, the effect of management on biogeophysical effects is largely unknown beyond local case studies. While the effects of climate on forest productivity is well established in forestry models, the effects of forest management on climate is less understood. Closing this feedback cycle is crucial to understand the driving forces behind past climate changes to be able to predict future climate responses and thus the required effort to adapt to it or avert it. To investigate the role of forest management in the climate system I propose to integrate a forest management module into a comprehensive Earth system model. The resulting model will be able to simultaneously address both directions of the interactions between climate and the managed land surface. My proposed work includes model development and implementation for key forest management processes, determining the growth and stock of living biomass, soil carbon cycle, and biophysical land surface properties. With this unique tool I will be able to improve estimates of terrestrial carbon source and sink terms and to assess the susceptibility of past and future climate to combined carbon cycle and biophysical effects of forest management. Furthermore, representing feedbacks between forest management and climate in a global climate model could advance efforts to combat climate change. Changes in forest management are inevitable to adapt to future climate change. In this process, is it possible to identify win-win strategies for which local management changes do not only help adaptation, but at the same time mitigate global warming by presenting favorable effects on climate? The proposed work opens a range of long-term research paths, with the aim of strengthening the climate perspective in the economic considerations of forest management and helping to improve local decisionmaking with respect to adaptation and mitigation.
Bamboos (Poaceae) are widespread in tropical and subtropical forests. Particularly in Asia, bamboos are cultivated by smallholders and increasingly in large plantations. In contrast to trees, reliable assessments of water use characteristics for bamboo are very scarce. Recently we tested a set of methods for assessing bamboo water use and obtained first results. Objectives of the proposed project are (1) to further test and develop the methods, (2) to compare the water use of different bamboo species, (3) to analyze the water use to bamboo size relationship across species, and (4) to assess effects of bamboo culm density on the stand-level transpiration. The study shall be conducted in South China where bamboos are very abundant. It is planned to work in a common garden (method testing), a botanical garden (species comparison, water use to size relationship), and on-farm (effects of culm density). Method testing will include a variety of approaches (thermal dissipation probes, stem heat balance, deuterium tracing and gravimetry), whereas subsequent steps will be based on thermal methods. The results may contribute to an improved understanding of bamboo water use characteristics and a more appropriate management of bamboo with respect to water resources.
We will compare the role of an RNA-binding protein in floral transition in Arabidopsis thaliana and Hordeum vulgare. The RNA-binding protein AtGRP7 promotes floral transition mainly by downregulating the floral repressor FLC via the autonomous pathway. Based on our observation that AtGRP7 affects the steady-state abundance of a suite of microRNA precursors, we will globally compare the small RNA component of the transcriptome during FTi regulation in wild type plants and AtGRP7 overexpressors by deep sequencing. This will extend the knowledge on small RNAs associated with floral transition and provide insights into the regulatory network downstream of this RNA-binding protein. Further, we will address the question how AtGRP7 orthologues function in crop species lacking FLC homologues. A barley line with highly elevated levels of the AtGRP7 orthologue HvGR-RBP1 shows accelerated FTi and preanthesis development when compared to a near-isogenic parent with very low expression of this gene. We will characterize in detail flowering of this line with respect to different photoperiods and its vernalization requirement. We will employ a TILLING approach to further delineate the function of HvGR-RBP1 in flowering. A candidate gene approach to identify downstream targets will provide insights into the signaling pathways through which HvGR-RBP1 influences FTi. This project contributes to the development of a functional cross-species network of FTi regulators, the major strategic aim of the SPP.
Webanwendung mit ca. 230 Merkmalen der Amtlichen Statistik; u. a. Daten zu den Bereichen Bevölkerung, Wanderungen, Arbeitsmarkt, SGB II, Bautätigkeit, Produzierendes Gewerbe, Handel, Tourismus, Verkehr und Verdienste. Die Aktualisierung der hinterlegten Datenbank erfolgt täglich.
Evidence is compelling for a positive correlation between urbanisation and increment of allergic sensitisation and diseases. The reason for this association is not clear to date. Some data point to a pro-allergic effect of anthropogenic factors on susceptible individuals. Data analysing the impact of environmental - natural and anthropogenic - factors on the allergenicity of allergen carriers such as pollen grains are scarce, and if applicable only taken from in vitro experimental designs. This study will analyse one of the most common allergy inducers in northern Europe - the birch pollen. Under natural exposure conditions, birch pollen will be analysed with respect to their allergenicity. Within an interdisciplinary research team this study will evaluate the effect of natural (e.g. soil, climate, genetic background) and anthropogenic (e.g. traffic pollutants) factors on birch pollen in a holistic approach including analysis of allergen bioavailability, release of pollen associated lipid mediators from birch pollen grains, in vitro immunostimulatory activity and in vivo allergenic potential. These data collected in the time course of three years will significantly add to our understanding how urbanisation and climate change influence the allergenicity of birch pollen and will help us in the future to set up primary prevention studies.
Farm structures are often characterized by regional heterogeneity, agglomeration effects, sub-optimal farm sizes and income disparities. The main objective of this study is to analyze whether this is a result of path dependent structural change, what the determinants of path dependence are, and how it may be overcome. The focus is on the German dairy sector which has been highly regulated and subsidized in the past and faces severe structural deficits. The future of this sector in the process of an ongoing liberalization will be analyzed by applying theoretical concepts of path dependence and path breaking. In these regards, key issues are the actual situation, technological and market trends as well as agricultural policies. The methodology will be based on a participative use of the agent-based model AgriPoliS and participatory laboratory experiments. On the one hand, AgriPoliS will be tested as a tool for stakeholder oriented analysis of mechanisms, trends and policy effects. This part aims to analyze whether and how path dependence of structural change can be overcome on a sector level. In a second part, AgriPoliS will be extended such that human players (farmers, students) can take over the role of agents in the model. This part aims to compare human agents with computer agents in order to overcome single farm path dependence.
Magnetic resonance tomography (MRT) on microcosm soil cores (200 mm Ø) used for CeMiX, comprising naturally stacked subsoil down to 700 mm plus topsoil from CeFiT, will be implemented at a laterally partially open Split 1.5 T magnet, with intended final in-plane spatial resolution of 200 Micro m. Three-dimensional biopore distributions and dynamics of their formation within the cores will be determined non-invasively and compared to complementing CT analyses of SP 2. One major aim is a non-invasive differentiation of the biopores into earthworm- and root system-originating ones and currently air-, water-, root- and earthwormfilled ones, based on NMR relaxation parameters. Attempts will additionally be made to classify different wall coatings of the biopores with regard to their water affinity. Dynamics of water distribution within the microcosm core and its biopore structures, starting from initial values taken from CeFiT (SP 3), will be documented with an in-plane resolution of 5 mm, in parallel to measurements of root growth dynamics for calculation of biomass and root surface area. Special emphasis will be put on the role of the plant root system for a re-distribution of water/D2O (and solutes) between different soil layers. Finally we will attempt MRT-controlled sample collection from the microcosm cores, to get - together with our research unit partners of SPs 4-8 - repeated access to minimally invasively acquired data on nutrient and microorganism distributions in concert with non-invasively collected water and root distribution data as a basis for dynamic modelling of water and solute circuits in SP 10. Beside the microcosm cores, flat rhizotrons as used in SP 3 will be employed to enable measurements of root and shoot hydrostatic pressure profiles with pressure probes, in addition to MRT measurements. In this way water distributions and corresponding driving forces and growth dynamics will be measured altogether in a minimally invasive manner.
Ziel der Forschungsarbeit ist die Klassifizierung von Boden-Biozönosen in ausgewählten Feldrainen. In drei Naturräumen (Lössböden der Jülicher Börde, Muschelkalkböden in Mainfranken und pleistozäne Sande bei Leipzig) werden typische Lebensgemeinschaften von Collembola und Gamasina (Taxozönosen) beschrieben. Der wesentliche Unterschied zu anderen Klassifikations-Ansätzen liegt in der induktiven Vorgehensweise: Biozönosen werden allein aufgrund der Artenzusammensetzung an den Standorten typisiert. Vegetationskundliche Kriterien dienen als entscheidendes Hilfsmittel zur Vorauswahl von Flächen mit ähnlichen Standortbedingungen. Hierbei wird gleichzeitig die aufgenommene Vegetation als ein weiteres Taxon der zu beschreibenden Biozönose angesehen. Die typische Artenzusammensetzung ist das integrierte Ergebnis aller denkbaren ökologischen Vorgänge. Ein Ziel der Arbeit ist somit die prospektive Formulierung von Erwartungswerten für Collembolen und Raubmilben auf der Basis vegetationskundlicher Daten. Es sollte daher möglich sein, dieses Mehrarten-System mit hoher Sensibilität zur Bioindikation von Standortveränderungen einzusetzen. Die Kenntnis der Artenstruktur wiederkehrender Lebensgemeinschaften kann der funktionellen Ökosystemforschung hilfreiche Hinweise bieten.
Dairy farming across Germany displays diverse production systems. Factor endowment, management, technology adoption as well as competitive dynamics in the local or regional land, agribusiness and dairy processing sectors contribute to this differentiation on farm level. These differences impact on the ability of dairy farms and regional dairy production systems to successfully respond to pressures arising from future market and policy changes. The overall objective of the research activities of which this project is a part of, is to develop a thorough understanding of the processes that govern the spatial dynamics of dairy farm development in different regions in Germany. The central hypothesis of this research project is that management system and technological choices differ systematically across local production and market conditions. The empirical approach will focus on the estimation of farm specific nonparametric cost functions for dairy farms located in across Germany differentiated by time and location. A spatially differentiated data base with information on input use, resource availability, as well as local market conditions for land and output markets will be compiled. The nonparametric approach is specifically suited to disclose a more accurate representation of dairy production system heterogeneity across locations and time compared to parametric concepts as it provides the necessary flexibility to accommodate non-linearities relevant for a wide domain of explanatory variables. The methodology employed goes beyond the state of the art of the literature as it combines kernel density estimation with a Bayesian sampling approach to provide theory consistent parameters for each farm in the data sample.The specific methodological hypothesis is that the nonparametric approach is superior to current parametric techniques and this hypothesis is tested using statistical model evaluation. Regarding the farm management and technological choices, we hypothesize that land suitability for feed production determines the farm intensity of dairy production and thus management and technological choices. With respect to the ability of farms to successfully respond to market pressures we hypothesize that farms at the upper and lower tail of the intensity distribution both can generate positive returns from dairy production. These last two hypotheses will be tested using the estimated spatially differentiated farm specific costs and marginal costs.The expected outcomes are of relevance for the agricultural sector and the food supply chain economy as a whole as fundamental market structure changes in the dairy sector are ongoing due to the abolition of the quota regulation in the years 2014/2015. Thus, exact knowledge about differences and development of dairy cost heterogeneity of farms within and between regions are an important factor for the actors involved in the market as well as the political support of this process.
Peroxyradikale sind kurzlebige Spezies, die an den meisten Oxidationsprozessen in der Atmosphäre beteiligt sind, die zur Bildung von langlebigeren und chemisch oder toxikologisch wichtigen Schadstoffen wie Ozon führen. Insbesondere in Gebieten, die von komplexen Emissionsquellen betroffen sind, sind Peroxyradikal-Messmethoden mit ausreichender Genauigkeit, Reproduzierbarkeit und Empfindlichkeit erforderlich, um die chemische Umwandlung der städtischen Umweltverschmutzung zu verstehen. In dieser Hinsicht ermöglichen Vergleiche von state-of-the-art Sensoren in chemischen Reaktorkammern deren Charakterisierung unter kontrollierten Bedingungen und verbessern das Vertrauen in die Messung von Peroxyradikalen.SPRUCE strebt ein besseres Verständnis der Rolle der Peroxyradikale bei atmosphärischen chemischen Umwandlungen an, die aus der Wechselwirkung zwischen urbanen anthropogenen und ländlichen biogenen Emissionen resultieren. Im Rahmen der vorgeschlagenen Arbeit wird das vorhandene PeRCEAS-Instrument (Peroxy Radical Chemical Enhancement and Absorption Spectrometer) an der Messkampagne des internationalen Projekts ACROSS (Atmospheric ChemistRy Of the Suburban Forest) zur Untersuchung des Schadstoffausflusses von Paris über ein Waldgebiet, und in der internationalen Vergleichsstudie ROxCOMP22 für wissenschaftliche Instrumente, die atmosphärische Peroxyradikale teilnehmen. Diese beiden Messkampagnen befassen sich mit zwei Hauptaspekten von SPRUCE. Sie bieten eine einzigartige Gelegenheit für a) die Messung von Peroxyradikalen in der spezifischen Umgebung von Interesse und in Verbindung mit einer umfangreichen Reihe von Beobachtungen, die für die Interpretation der Radikalchemie von wesentlicher Bedeutung sind, und b) die Bewertung der Datenqualität und Leistungsfähigkeit von PeRCEAS, insbesondere die Überprüfung der Sensitivität und Effizienz für die Speziation der Radikale unter kontrollierten Bedingungen.Ein Schwerpunkt der Studie wird auf der Untersuchung von Oxidationsreaktionen und Ozonausbeuten in Luftmassen mit unterschiedlicher anthropogener/biogener Signatur in Abhängigkeit von der Menge und Zusammensetzung von Peroxyradikalen liegen. Numerische Berechnungen und Modelle werden durch die Beobachtungen von Vorläuferspezies eingeschränkt, um die Budgets von Peroxyradikalen abzuschätzen. Der Vergleich mit den PeRCEAS-Messungen wird verwendet, um das Verständnis der Oxidationsmechanismen in urbanen Plumes gemischt mit biogenen Emissionen zu testen. Es wird erwartet, dass die Analyse des resultierenden Datensatzes das aktuelle Wissen über die chemische Transformation von Megacity-Emissionen während des atmosphärischen Transports ergänzt.
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